Text Classification
Transformers
ONNX
Safetensors
PEFT
Transformers.js
English
bert
lora
reproducible-research
synthetic-data
Eval Results (legacy)
text-embeddings-inference
Instructions to use Ineeoluwa/adapterlab-support-intent-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ineeoluwa/adapterlab-support-intent-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ineeoluwa/adapterlab-support-intent-tiny")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ineeoluwa/adapterlab-support-intent-tiny") model = AutoModelForSequenceClassification.from_pretrained("Ineeoluwa/adapterlab-support-intent-tiny", device_map="auto") - PEFT
How to use Ineeoluwa/adapterlab-support-intent-tiny with PEFT:
Task type is invalid.
- Transformers.js
How to use Ineeoluwa/adapterlab-support-intent-tiny with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-classification', 'Ineeoluwa/adapterlab-support-intent-tiny'); - Notebooks
- Google Colab
- Kaggle
Download run.json from Ineeoluwa/adapterlab-support-intent-tiny: direct link, hf CLI and curl.
- Browser
- Download file 565 Bytes
-
https://huggingface.co/Ineeoluwa/adapterlab-support-intent-tiny/resolve/main/run.json
- Command line
-
hf download hf://Ineeoluwa/adapterlab-support-intent-tiny/run.json
-
curl -L -o run.json https://huggingface.co/Ineeoluwa/adapterlab-support-intent-tiny/resolve/main/run.json
565 Bytes
| { | |
| "config": { | |
| "strategy": "lora", | |
| "rank": 8, | |
| "learning_rate": 0.001, | |
| "epochs": 4, | |
| "batch_size": 8, | |
| "max_length": 96, | |
| "seed": 42 | |
| }, | |
| "labels": [ | |
| "account", | |
| "billing", | |
| "cancellation", | |
| "delivery", | |
| "login", | |
| "technical" | |
| ], | |
| "base_model": "google/bert_uncased_L-2_H-128_A-2", | |
| "base_revision": "30b0a37ccaaa32f332884b96992754e246e48c5f", | |
| "dataset_fingerprint": "452710ab0bf595050805180e10ff423b58723ae1f34c22153da411fd87cbd8dc", | |
| "trained_at": "2026-10-27T22:29:34.637562+00:00", | |
| "synthetic_data": true | |
| } | |